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The Topology of Chaos - Department of Physics - Drexel University

The Topology of Chaos - Department of Physics - Drexel University

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Abstract<br />

<strong>The</strong> <strong>Topology</strong><br />

<strong>of</strong> <strong>Chaos</strong><br />

Robert<br />

Gilmore<br />

Intro.-01<br />

Intro.-02<br />

Intro.-03<br />

Exp’tal-01<br />

Exp’tal-02<br />

Exp’tal-03<br />

Exp’tal-04<br />

Exp’tal-05<br />

Exp’tal-06<br />

Exp’tal-07<br />

Exp’tal-08<br />

Embed-01<br />

Embed-02<br />

Embed-03<br />

Data generated by a low-dimensional dynamical system<br />

operating in a chaotic regime can be analyzed using topological<br />

methods. <strong>The</strong> process is (almost) straightforward. On a scalar<br />

time series, the following steps are taken:<br />

1 Unstable periodic orbits are identified;<br />

2 An embedding is constructed; ⋆ ⋆<br />

3 <strong>The</strong> topological organization <strong>of</strong> these periodic orbits is<br />

determined;<br />

4 Some orbits are used to identify an underlying branched<br />

manifold;<br />

5 <strong>The</strong> branched manifold is used as a tool to predict the<br />

remaining topological invariants.<br />

This algorithm has its own built in rejection criterion.

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